Bachelor in Business Administration
The Bachelor in Business Administration (BBA) at Collège de Paris is designed to...
Postgraduate Diploma in Computer Science (Data Science and Artificial Intelligence)
Paris
INTAKE: Jan, April, July & Oct
Program Overview
The Postgraduate Diploma in Computer Science (Data Science and Artificial Intelligence) at Collège de Paris is an advanced and industry-driven program designed to equip students with the cutting-edge skills required in the data-centric and AI-powered global economy. This program prepares aspiring data scientists, machine learning engineers, and AI strategists to solve complex real-world problems by leveraging data analytics, deep learning, and intelligent automation. It combines theoretical knowledge with practical applications, ensuring graduates are workplace-ready for high-growth sectors.
Curriculum: The curriculum integrates core modules in computer science with advanced specializations in data science and AI. Students delve into subjects such as Python programming, data structures, databases, statistical modeling, data mining, machine learning, natural language processing (NLP), computer vision, and deep learning. The program also includes coursework in data ethics, AI governance, cloud computing, big data technologies, and tools like TensorFlow, PyTorch, and Scikit-learn. Capstone projects and AI labs provide hands-on experience through real-world datasets and applied research.
Research Focus: Collège de Paris encourages students to pursue applied research across key areas such as predictive analytics, reinforcement learning, neural networks, algorithm optimization, and AI-based decision-making systems. Research opportunities are provided in collaboration with academic mentors and industry partners, focusing on challenges in healthcare, finance, e-commerce, and smart technologies. Students are trained to publish findings, innovate responsibly, and contribute to the global advancement of artificial intelligence.
Industry Engagement: The program maintains strong industry ties with global tech companies, AI startups, research institutions, and data consultancies. Students benefit from internships, industry-led workshops, data science hackathons, guest lectures, and collaborative innovation challenges. These engagements foster networking, portfolio development, and direct exposure to the application of AI and data science in real-time business environments.
Global Perspective: With a strong international orientation, the program welcomes students from diverse cultural and academic backgrounds, promoting a global learning environment. The curriculum reflects global AI and data science trends, including EU data protection regulations, AI ethics frameworks, and cross-border data collaboration. Graduates are prepared to work in global roles or contribute to multinational AI projects, making an impact across sectors such as fintech, healthtech, logistics, and smart cities.
Location
Paris
Score
IELTS 6.5
Tuition Fee
€ 10000
Postgraduate Diploma Entry Requirements
Academic Qualifications: Applicants for postgraduate diploma programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
College de Paris acknowledges the importance of supporting international students in pursuing their educational aspirations. To facilitate access to quality education, the institution offers various scholarship opportunities tailored to assist deserving international students.
Scholarship: 25% Scholarship on tuition fees if paid within the deadline of 07 working days.
Graduates of the Postgraduate Diploma in Computer Science (Data Science and Artificial Intelligence) at Collège de Paris are well-equipped to lead in the age of intelligent systems and big data. They are highly sought-after across various industries, including technology, finance, healthcare, retail, and logistics, where data-driven innovation is a strategic priority.
Data Scientist: Analyze complex data sets to extract insights, build predictive models, and drive data-informed business decisions using machine learning and statistical techniques.
Machine Learning Engineer: Design, build, and deploy machine learning models and systems that automate decision-making processes and enable advanced analytics for business applications.
Artificial Intelligence Engineer: Develop intelligent algorithms and AI systems for use in areas such as computer vision, speech recognition, robotics, and autonomous technologies.
Data Analyst: Transform raw data into meaningful insights through data visualization, reporting, and exploratory data analysis to support business intelligence strategies.
Big Data Engineer: Architect and manage large-scale data pipelines and cloud-based infrastructure to process high volumes of structured and unstructured data efficiently.
Business Intelligence Developer: Create and maintain dashboards, data models, and reporting tools that help organizations track KPIs and gain a competitive edge through data.
NLP Specialist (Natural Language Processing): Build language-based AI applications such as chatbots, sentiment analysis engines, and translation systems using linguistics and machine learning.
Computer Vision Engineer: Develop AI systems that interpret visual data for use in surveillance, facial recognition, autonomous vehicles, and healthcare imaging technologies.
AI Research Assistant / Data Science Researcher: Support innovation in academic, corporate, or government labs by researching and experimenting with novel algorithms, models, and data strategies.
AI Product Manager: Oversee the development lifecycle of AI-powered products, collaborating with engineering and design teams to align technology solutions with business needs.
